Show simple item record Sabbineni, H Chakrabarty, K 2011-06-21T17:27:53Z 2010-12-01
dc.identifier.citation International Journal of Distributed Sensor Networks, 2010, 2010
dc.identifier.issn 1550-1329
dc.description.abstract We propose a novel data-delivery method for delay-sensitive traffic that significantly reduces the energy consumption in wireless sensor networks without reducing the number of packets that meet end-to-end real-time deadlines. The proposed method, referred to as SensiQoS, leverages the spatial and temporal correlation between the data generated by events in a sensor network and realizes energy savings through application-specific in-network aggregation of the data. SensiQoS maximizes energy savings by adaptively waiting for packets from upstream nodes to perform in-network processing without missing the real-time deadline for the data packets. SensiQoS is a distributed packet scheduling scheme, where nodes make localized decisions on when to schedule a packet for transmission to meet its end-to-end real-time deadline and to which neighbor they should forward the packet to save energy. We also present a localized algorithm for nodes to adapt to network traffic to maximize energy savings in the network. Simulation results show that SensiQoS improves the energy savings in sensor networks where events are sensed by multiple nodes, and spatial and/or temporal correlation exists among the data packets. Energy savings due to SensiQoS increase with increase in the density of the sensor nodes and the size of the sensed events. © 2010 Harshavardhan Sabbineni and Krishnendu Chakrabarty.
dc.language.iso en_US en_US
dc.relation.ispartof International Journal of Distributed Sensor Networks
dc.relation.isversionof 10.1155/2010/792068
dc.title An energy-efficient data delivery scheme for delay-sensitive traffic in wireless sensor networks
dc.title.alternative en_US
dc.type Journal Article
dc.description.version Version of Record en_US 2010-00-00 en_US
duke.description.endpage 792068 en_US
duke.description.issue en_US
duke.description.startpage 792068 en_US
duke.description.volume en_US
dc.relation.journal International Journal of Distributed Sensor Networks en_US
pubs.organisational-group /Duke
pubs.organisational-group /Duke/Pratt School of Engineering
pubs.organisational-group /Duke/Pratt School of Engineering/Electrical and Computer Engineering
pubs.publication-status Published
pubs.volume 2010
dc.identifier.eissn 1550-1477

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